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On the use of national medical and demographic data in radiation risk assessment in the low-dose range

https://doi.org/10.21514/1998-426X-2026-19-3-104-116

Abstract

Transferring radiation risk models between populations remains a methodological challenge. Estimates of lifetime risk and radiation detriment depend not only on dose and model parameters, but also on the health and demographic characteristics of the population assessed. Objective: to analyse the influence of Russian population data on radiation risk estimates obtained using the International Commission on Radiological Protection methodology. Materials and Methods: The radiation detriment calculation procedure described in International Commission on Radiological Protection Publication 152 was analysed, including excess absolute and relative risk models, lifetime risk calculation using the cancer-free survival function, age and sex structure, and adjustment for severity. Calculations used cancer incidence, mortality, cancer-free survival, and lethality data for Russian and reference populations. Results and Discussion: Differences in baseline cancer incidence substantially affected estimates based on the relative risk model. Using the cancer-free survival function of a population with lower mortality increased the lifetime risk of radiation-induced bladder cancer in Russian males by approximately 1.5-fold, but did not eliminate the approximately twofold difference in baseline incidence at older ages. Baseline incidence and cancer-free survival may have opposing effects on betweenpopulation risk differences. Use of lethality data inconsistent with the population assessed substantially changes radiation detriment estimates. Conclusion: National health and demographic data increase the population specificity of expected radiation effect estimates; however, input data and interpretation should depend on the assessment purpose. For specific exposure situations, actual population, cohort, or clinical data should be used where appropriate. Population-specific risk estimates should not automatically justify relaxation of radiation protection requirements.

About the Authors

L. V. Repin
Saint Petersburg Research Institute of Radiation Hygiene after Professor P.V. Ramzaev, Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing
Russian Federation

Leonid V. Repin Junior Researcher, Information Analytical Center

8 Mira Str., Saint-Petersburg, 197198



A. M. Biblin
Saint Petersburg Research Institute of Radiation Hygiene after Professor P.V. Ramzaev, Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing
Russian Federation

Artem M. Biblin Head, Information Analytical Center, Senior Researcher

Saint-Petersburg



R. R. Akhmatdinov
Saint Petersburg Research Institute of Radiation Hygiene after Professor P.V. Ramzaev, Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing
Russian Federation

Rustam R. Akhmatdinov Leading Research Engineer, Information Analytical Center

Saint-Petersburg



References

1. The 2007 Recommendations of the International Commission on Radiological Protection. ICRP Publication 103. Annals of the ICRP. 2007;37(2–4): 1–332. DOI: 10.1016/j.icrp.2007.10.003.

2. Radiation detriment calculation methodology. ICRP Publication 152. Annals of the ICRP. 2022;51(3): 9–103. DOI: 10.1177/01466453221080101.

3. Gorski AI, Chekin SYu, Maksioutov MA, Menyajlo AN, Korelo AM, Tumanov KA, et al. Transfer of ICRP models of radiation risk to the population of the Russian Federation. Radiatsiya i Risk = Radiation and Risk. 2019;28(4): 5–15. DOI: 10.21870/0131-3878-2019-28-4-5-15. (In Russian).

4. Kosarlukova EA, Repin LV, Biblin AM, Akhmatdinov RR. Analysis of the impact of medical and demographic indicators of the Russian population on radiation risk estimates based on the ICRP model. Radiatsionnaya Gygiena = Radiation Hygiene. 2025;18(2): 29-36. DOI: 10.21514/1998-426X2025-18-2-29-36. (In Russian).

5. Hirouchi J, Kujiraoka I, Takahara S, Takada M, Schneider T, Kai M. Comparison of lifetime mortality risk, incidence risk, and DALYs of baseline cancer rates among countries as a benchmark for radiation-related cancer risk. Journal of Radiological Protection. 2024;44(2): 021510. DOI: 10.1088/1361-6498/ad4043.

6. Hirouchi J, Kujiraoka I, Takahara S, Takada M, Schneider T, Kai M. Comparison of radiation-related cancer risk against baseline cancer rates in 33 countries using disability-adjusted life years (DALYs), lifetime incidence risk and lifetime mortality risks. Journal of Radiological Protection. 2025;45(1): 011508. DOI: 10.1088/1361-6498/adba6f.

7. Repin LV, Chipiga LA, Biblin AM, Akhmatdinov RR, Vazhenina DA. Characterization of radiation risk associated with radionuclide diagnostics for the Russian patients using disability-adjusted life years measure. Russian Electronic Journal of Radiology. 2024;14(4): 189–203. DOI: 10.21569/2222-7415-2024-14-4-189-203. (In Russian).

8. Andersson M, Eckerman K, Pawel D, Almén A, Mattsson S. Improved ageand gender-specific radiation risk models applied on cohorts of Swedish patients. Radiation Protection Dosimetry. 2021;195(3–4): 334–338. DOI: 10.1093/rpd/ncab075.

9. Cléro E, Vaillant L, Hamada N, Zhang W, Preston D, Laurier D, et al. History of radiation detriment and its calculation methodology used in ICRP Publication 103. Journal of Radiological Protection. 2019;39(3): R19–R36. DOI: 10.1088/1361-6498/ab2949a.

10. Ban N, Cléro E, Vaillant L, Zhang W, Hamada N, Preston D, Laurier D. Radiation detriment calculation methodology: summary of ICRP Publication 152. Journal of Radiological Protection. 2022;42(2): 023001. DOI: 10.1088/13616498/ac670d.

11. Malignant neoplasms in Russia in 2023 (morbidity and mortality). Edited by AD Kaprin, VV Starinsky, AO Shakhzadova. Moscow: P.A. Hertsen MNIOI branch of FGBU “NMRC Radiology” of the Ministry of Health of Russia; 2024. 276 p. (In Russian).

12. Timonin S, Sergeev E, Shchur A, Barchuk A, Kobyakova O. Age standardization of medical and demographic indicators and a Russian standard population. Demograficheskoe obozrenie = Demographic Review. 2025;12(4): 72–99. DOI: 10.17323/demreview.v12i4.30413. (In Russian).

13. The state of oncological care for the population of Russia in 2023. Moscow; 2024. 262 p. (In Russian).

14. National Cancer Institute. Cancer Statistics Review 19731986, Including a Report on the Status of Cancer Control. Bethesda (MD): U.S. Department of Health and Human Services, Public Health Service, National Institutes of Health; 1989. NIH Publication No. 89-2789.

15. Merabishvili V. The index accuracy the most important criterion of an objective assessment of activity of oncological service for all localizations of malignant tumors, irrespective of level of lethality of patients. Voprosy onkologii = Problems in Oncology. 2019;65(4): 510–515. DOI: 10.37469/05073758-2019-65-4-510-515. (In Russian).

16. Merabishvili V. Analytical indicators of observation. The yearby-year lethality of patients at each year. Voprosy onkologii = Problems in Oncology. 2021;67(1): 44–50. DOI: 10.37469/0507-3758-2021-67-1-44-50. (In Russian).

17. Demographic Yearbook of Russia 2023. Moscow: Federal State Statistics Service; 2023. 256 p.

18. HMD. Human Mortality Database. Max Planck Institute for Demographic Research (Germany), University of California, Berkeley (USA), and French Institute for Demographic Studies (France). Available from: https://www.mortality.org/ [Accessed 7 June 2026].

19. Zhang W, Laurier D, Cléro E, Hamada N, Preston D, Vaillant L, et al. Sensitivity analysis of parameters and methodological choices used in calculation of radiation detriment for solid cancer. International Journal of Radiation Biology. 2020;96(5): 596-605. DOI: 10.1080/09553002.2020.1708499.


Review

For citations:


Repin L.V., Biblin A.M., Akhmatdinov R.R. On the use of national medical and demographic data in radiation risk assessment in the low-dose range. Radiatsionnaya Gygiena = Radiation Hygiene. 2026;19(3):104-116. (In Russ.) https://doi.org/10.21514/1998-426X-2026-19-3-104-116

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ISSN 1998-426X (Print)
ISSN 2409-9082 (Online)